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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 591–600 of 1729 papers

TitleStatusHype
Boundary Smoothing for Named Entity Recognition—0
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts—0
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training—0
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition—0
Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning—0
Bootstrapping a Romanian Corpus for Medical Named Entity Recognition—0
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition—0
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
Boosting Question Answering by Deep Entity Recognition—0
A Noise-Robust Loss for Unlabeled Entity Problem in Named Entity Recognition—0
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